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How to Use the Ezus MCP in Google ADK

Connect Gemini's million-token context to Ezus tools with the Google ADK to analyze massive travel datasets.

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Google ADK

Connect Ezus MCP to Google ADK

Create your Vinkius account to connect Ezus to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Enterprise-scale travel project analysis

The `list_projects` tool acts as the primary data pipeline for this MCP Server, feeding historical travel data directly into Gemini's long-context window. Your agent analyzes years of trip data in one go. Using `get_project`, the agent extracts specific itinerary details to compare past pricing trends. This lets you build highly accurate quotes based on actual historical booking behavior.

Deep client profile matching

The `list_clients` tool retrieves your entire customer directory so your agent can cross-reference it with Cloud databases. It identifies repeat travelers and groups them by preference. By calling `get_client`, the agent pulls specific contact details and historical travel notes. This ensures every automated itinerary matches the exact preferences your clients expect.

Supplier inventory synchronization

The `list_suppliers` tool pulls active partner directories directly into your enterprise workspace. Your agent cross-references these records with external market data to find the best deals. It then uses `get_supplier` and `list_products` to pull exact catalog rates. This prevents your agents from booking outdated packages that suppliers no longer support.

Setup guide

Set up Ezus MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Ezus tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Ezus_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ezus tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ezus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Ezus MCP in Google ADK

Use the `McpToolset` class and pass your Vinkius HTTP URL. Then, add this toolset to your `LlmAgent` configuration to expose all 12 tools to your Gemini model.
Yes. The agent calls `upsert_project` to write new itineraries or modify existing ones. Gemini's reasoning capabilities ensure the payload matches your database schema.
Yes. You can pass a `tool_names` list to restrict the agent to read-only tools like `list_products` and `get_supplier` if you want to block write access.
The `list_suppliers` tool uses standard pagination. Gemini's massive context window handles the returned JSON payload without running out of memory or losing track of details.
Your invoices and customer financial records are processed through ephemeral V8 sandboxes. Vinkius handles the API authentication token securely, ensuring your financial data never leaks into public training sets.

Start using the Ezus MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Ezus. Just plug in your AI agents and start using Vinkius.

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